Journal ArticleDOI
Assessment of air-to-air missile guidance and control technology
TLDR
In this article, the assumptions, benefits, and limitations of recent applications of nonlinear filtering, adaptive filtering, modern control, adaptive control, dual control, differential game theory, and modern control design techniques to the air-to-air missile problem are discussed.Abstract:
Current air-to-air missile guidance and control technology is assessed. Areas explored include target state estimation, advanced guidance laws, and bank-to-turn autopilots. The assumptions, benefits, and limitations of recent applications of nonlinear filtering, adaptive filtering, modern control, adaptive control, dual control, differential game theory, and modern control design techniques to the air-to-air missile problem are discussed. >read more
Citations
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Journal ArticleDOI
Survey of maneuvering target tracking. Part I. Dynamic models
X. Rong Li,Vesselin P. Jilkov +1 more
TL;DR: A comprehensive and up-to-date survey of the techniques for tracking maneuvering targets without addressing the measurement-origin uncertainty is presented in this article, including 2D and 3D maneuver models as well as coordinate-uncoupled generic models for target motion.
Journal ArticleDOI
Switched bias proportional navigation for homing guidance against highly maneuvering targets
K.R. Babu,I.G. Sarma,K. N. Swamy +2 more
TL;DR: In this paper, a new form of the Proportional Navigation (PN) guidance law for short-range homing missiles is proposed, which is derived by invoking slidingmode control theory and is structured around the basic PN, with an additive switched bias term.
Book ChapterDOI
Guidance Laws for Autonomous Underwater Vehicles
Morten Breivik,Thor I. Fossen +1 more
TL;DR: In this paper, the authors consider the concept of guided motion control for marine vehicles, in particular focusing on underactuated marine surface vehicles, and define the control objectives associated with each scenario as work-space tasks instead of configurationspace tasks.
Journal ArticleDOI
Adaptive nonlinear guidance law considering control loop dynamics
Dongkyoung Chwa,Jin Young Choi +1 more
TL;DR: In this paper, a new adaptive nonlinear guidance law is proposed to compensate for the uncertainties in both target acceleration and control loop dynamics, which adopts the sliding mode control approach with adaptation for unknown bound of uncertainties.
Journal ArticleDOI
Guidance of a homing missile via nonlinear geometric control methods
TL;DR: In this paper, a guidance strategy based on the theory of feedback linearization is presented, and simulation results are given comparing miss distance performance of the feedback linearized guidance law to proportional navigation.
References
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Journal ArticleDOI
Estimating Optimal Tracking Filter Performance for Manned Maneuvering Targets
TL;DR: In this paper, an optimal Kalman filter has been derived for this purpose using a target model that is simple to implement and that represents closely the motions of maneuvering targets, using this filter, parametric tracking accuracy data have been generated as a function of target maneuver characteristics, sensor observation noise, and data rate and that permits rapid a priori estimates of tracking performance to be made when the target is to be tracked by sensors providing any combination of range, bearing, and elevation measurements.
Eigenstructure Assignment for Linear Systems
TL;DR: The use of feedback (full state, output, and constrained output) is considered as a means of shaping the transient response of linear time invariant systems.
Journal ArticleDOI
Eigenstructure Assignment for Linear Systems
TL;DR: In this paper, the use of feedback (full state, output, and constrained output) is considered as a means of shaping the transient response of linear time invariant systems and the underlying importance of the eigenstructure (eigenvalues/eigenvectors) is highlighted.
Journal ArticleDOI
A Kalman Filter Based Tracking Scheme with Input Estimation
Yiu-Tong Chan,A.G.C. Hu,J. Plant +2 more
TL;DR: In this article, a least square estimator is used to estimate the acceleration input vector of a target and a simple Kalman filter is used for tracking the target in constant course and speed mode.
Journal ArticleDOI
Tracking a maneuvering target using input estimation versus the interacting multiple model algorithm
TL;DR: In this paper, the authors compared two maneuvering-target tracking techniques, called input estimation and switching of the target state model, where the various state models can be of different dimension and driven by process noises of different intensities, and estimated the state according to the interacting multiple model (IMM) algorithm.